IEEE Transactions on Cognitive and Developmental Systems Special Issue on Brain-inspired Integration Model for Cognition and Motion

I. Aim And Scope

Robots have found increasing applications in industry, service, and medicine due to the great success achieved on robotics research over the past decades. Robots can now accomplish many complex manipulations, such as automatic assembly and welding in industry. However, much room remains for improvement in flexible manipulation and hand-eye coordination of robotic systems compared to human beings.Humans are able to achieve excellent hand-eye coordination and flexible manipulation at the same time, through a redundant, nonlinear, and complex movement system that is controlled by neural signals from the central and peripheral nervous systems. Nowadays, the interaction between brain science and information science promotes brain-inspired intelligence, which evokes new ideas in both fields. Moreover, this may provide a new direction for robotic research and bring up solutions to address the current bottlenecks. To achieve better hand-eye coordination as in humans, a brain-inspired integration model is required, which integrates cognition, motion, manipulation, emotion, and decision-making of the robot in a coordinated way. Two main challenges remain open, namely, which mechanisms in the brain could be introduced into the model to improve performance, and how to implement the biological mechanisms properly and efficiently in the model.

II. Themes

This special issue aims to report the recent advances in brain-inspired modeling for visuomotor coordination, which includes cognition, motion, manipulation, decision, emotion and their integration in robotics. Topics relevant to this special issue include, but are not limited to: